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tensorflow/c/experimental/ops/README.md
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tensorflow/c/eager/c_api_experimental.h
// Given a Tensor, wrap it with a TensorHandle // // Similar to TFE_NewTensorHandle, but includes a pointer to the TFE_Context. // The context should be identical to that of the Tensor. TF_CAPI_EXPORT TFE_TensorHandle* TFE_NewTensorHandleFromTensor( TFE_Context* ctx, TF_Tensor* t, TF_Status* status); // Create a packed TensorHandle with the given list of TensorHandles.
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tensorflow/c/experimental/filesystem/filesystem_interface.h
TF_Status* status); /// Returns the current write position in `*file`. /// /// Plugins should ensure that the implementation is idempotent, 2 identical /// calls result in the same answer. /// /// Plugins: /// * Must set `status` to `TF_OK` and return current position if no error. /// * Must set `status` to any other value and return -1 in case of error.
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RELEASE.md
* Whether you represent a ragged tensor as a `tf.RaggedTensor` or using [keras masking](https://www.tensorflow.org/guide/keras/masking_and_padding), the returned loss values should be the identical to each other. In previous versions Keras may have silently ignored the mask. * If you use masked losses with Keras the loss values may be different in TensorFlow `2.12` compared to previous versions.
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